activity
20162026
most citedGlobal canopy height regression and uncertainty estimation from GEDI LIDAR waveforms with deep ensembles

296 citations · 1.4k across the 42 of their papers we have counts for

collaborators
Showing 2020Show all

7 papers · 1 filter

cs.CV2020★ 1 cited

Crop Classification under Varying Cloud Cover with Neural Ordinary Differential Equations

Nando Metzger, Mehmet Ozgur Turkoglu, Stefano D'Aronco +2

Optical satellite sensors cannot see the Earth's surface through clouds. Despite the periodic revisit cycle, image sequences acquired by Earth observation satellites are therefore…

cs.CV2020★ 20 cited

Deep Active Learning in Remote Sensing for data efficient Change Detection

Vít Růžička, Stefano D'Aronco, Jan Dirk Wegner +1

We investigate active learning in the context of deep neural network models for change detection and map updating. Active learning is a natural choice for a number of remote sensin…

cs.CV2020

Water level prediction from social media images with a multi-task ranking approach

P. Chaudhary, S. D'Aronco, J. P. Leitao +2

Floods are among the most frequent and catastrophic natural disasters and affect millions of people worldwide. It is important to create accurate flood maps to plan (offline) and c…

cs.CV2020★ 1 cited

GeoGraph: Learning graph-based multi-view object detection with geometric cues end-to-end

Ahmed Samy Nassar, Stefano D'Aronco, Sébastien Lefèvre +1

In this paper we propose an end-to-end learnable approach that detects static urban objects from multiple views, re-identifies instances, and finally assigns a geographic position…

cs.CV2020

Fine-grained Species Recognition with Privileged Pooling: Better Sample Efficiency Through Supervised Attention

Andres C. Rodriguez, Stefano D'Aronco, Konrad Schindler +1

We propose a scheme for supervised image classification that uses privileged information, in the form of keypoint annotations for the training data, to learn strong models from sma…

cs.CV2020

Geocoding of trees from street addresses and street-level images

Daniel Laumer, Nico Lang, Natalie van Doorn +3

We introduce an approach for updating older tree inventories with geographic coordinates using street-level panorama images and a global optimization framework for tree instance ma…